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Christopher Gard Elite Prospects ↗

Position: Forward DOB: 1990-10-17 Country: Canada
No commitment set

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NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2006-07 Bramalea Blues OJHL 13 1 2 3 0.231 0.0566 0.0637 0.1589 0.1789
2007-08 — OJHL 21 3 6 9 0.429 0.1050 0.1135 0.2951 0.3189
2008-09 Collingwood Blues OJHL 42 10 19 29 0.691 0.1692 0.1742 0.4754 0.4893
2009-10 — OJHL 57 13 25 38 0.667 0.1634 0.1596 0.4590 0.4483
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2013-14 Lake Forest D3 NCHA SR 27 1 4 5 0.185
2012-13 Lake Forest D3 NCHA JR 26 1 2 3 0.115
2011-12 Lake Forest D3 NCHA SO 25 1 2 3 0.120
2010-11 Lake Forest D3 NCHA FR 27 1 8 9 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.33
2010-11 · Lake Forest
+135.4% vs. projection

NCAAe Rankings

#30578
Forward overall
#1117
Forward born in 1990
#1619
in OJHL

D1 Comparables

Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.22 Strong
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG
Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Kenny Gillespie
USHL · 2012-13 · 0.37 PPG
→ RPI (0.20 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Connor McBride
St. Thomas · 2010-11
0.560 Average
actual D2/3 PPG
Kowin Belsterling
Chatham · 2023-24
1.208 Elite
actual D2/3 PPG
Ethan Hull
Bethel · 2023-24
0.400 Average
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.